Test for the mean matrix in a Growth Curve model for high dimensions

DOI10.1080/03610926.2015.1132328zbMath1369.62124OpenAlexW621463562MaRDI QIDQ5349191

Martin Singull, Muni S. Srivastava

Publication date: 23 August 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-111530

zbMATH Keywords

asymptotic distributionestimationhypothesis testinggrowth curve modelGMANOVAhigh dimensionpower comparison

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Hypothesis testing in multivariate analysis (62H15)

Related Items (3)

Test for mean matrix in GMANOVA model under heteroscedasticity and non-normality for high-dimensional data ⋮ Likelihood ratio tests for elaborate covariance structures and for MANOVA models with elaborate covariance structures -- a review ⋮ Testing in the growth curve model with intraclass correlation structure

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